Particularly, UAV-sensing-driven task-oriented semantic communication aims to provide users with cross-regional intelligent services with the help of UAV's image retrieval, image recognition, image transmission, and image coding features. UAV-sensing-driven Task-oriented Semantic Communication (UTSC) generally serves a multi-demand, complex cross-modal intelligent task with multiple users. The UTSC is particularly suitable for emerging intelligent scenarios in daily life [1]}, [2]} and industry [3]} (e.g., smart agriculture [4]}). The service mode of UTSC is realized by collecting task demands from users and using UAV sensing equipment to collect image data, and returning demand feedback to users through cloud servers in the form of semantic information. For example, in smart agriculture, different farmers (i.e., users) require UAVs to accomplish different tasks (e.g., monitoring and shooting). In this case, it is challenging for UAVs to accomplish the task goals of all users simultaneously. Furthermore, due to resource limitations and power supply problems, UAVs cannot hover in the air for a long time to complete the personalized user demands in turn. Therefore, there exists following unique challenges when designing USTC systems:
